Exam DP-700 topic 1 question 5 discussion

Enable V-Order: This should be your first step as it directly targets performance improvements with minimal cost. Consider the following before deciding to disable V-Order: Microsoft Fabric Direct Lake mode depends on V-Order. https://learn.microsoft.com/en-us/fabric/data-warehouse/v-order#performance-considerations

500 million rows is over the F32 table limit.

Agree to the 300kk row limit on direct lake for an f32

The documentation (https://learn.microsoft.com/en-us/fabric/fundamentals/direct-lake-overview) confirms that the row-count guardrail of an F32 capacity (300 million rows per table) is now being breached by your 500-million-row fact table, and that exceeding a guardrail pushes Direct Lake queries into DirectQuery fallback, which is exactly what users are experiencing as “slow visuals” and intermittent errors. Because the only reliable way to lift that guardrail is to move to the next SKU, the best fix is to scale the capacity to F64 (or higher), where the limit rises to 1.5 billion rows per table. This leaves plenty of headroom and restores Direct Lake performance without any refactoring.

As a PBI developer I would prefer to have views created. Visuals show error because there is two much data to be calculated. I would prefer to have less data, so the granular data should be aggregated, we need only yearly data. Then there would be less data to be calculated in the visual query.

https://learn.microsoft.com/en-us/fabric/real-time-intelligence/event-streams/process-events-using-event-processor-editor?pivots=enhanced-capabilities Fabric SKU Parquet files per table Row groups per table Rows per table (millions) Max model size on disk/OneLake (GB) Max memory (GB) 1 F2 1,000 1,000 300 10 3 F4 1,000 1,000 300 10 3 F8 1,000 1,000 300 10 3 F16 1,000 1,000 300 20 5 F32 1,000 1,000 300 40 10 F64/FT1/P1 5,000 5,000 1,500 Unlimited 25 F128/P2 5,000 5,000 3,000 Unlimited 50 F256/P3 5,000 5,000 6,000 Unlimited 100 F512/P4 10,000 10,000 12,000 Unlimited 200 F1024/P5 10,000 10,000 24,000 Unlimited 400 F2048 10,000 10,000 24,000 Unlimited 400

Raise the capacity so Fabric can use DireqtQuery without fallback. https://learn.microsoft.com/en-us/fabric/fundamentals/direct-lake-overview#fallback

V-order improves read performance

The best option is: C. Enable V-Order. Explanation: Best Query Performance: V-Order is an optimization feature in Fabric that improves query performance by organizing Parquet files more efficiently. It enhances compression, speeds up scan performance, and reduces I/O, making it ideal for large datasets like your 500 million-row fact table. Minimize Operational Costs: Enabling V-Order does not require scaling up capacity, unlike option B (Increasing the capacity), which adds costs. It optimizes storage and query performance without additional compute resources.

My suggestion to be both things To minimize operational costs, you can modify surrogate keys by using a smaller integer data type (e.g., INT instead of BIGINT) and enabling V-order (Virtual Order) for faster data retrieval, if applicable.

Changing the surrogate key data type would likely involve significant re-engineering efforts without guaranteeing a performance improvement.

V-Order is a highly optimized columnar storage format in Microsoft Fabric that compresses and accelerates queries

B. Minimize operational costs is false. A. Distraction. C. Warehouse is not possible in this sentence. V-Order is configured in a notebook because it is incorrect. D. It is true because https://learn.microsoft.com/en-us/fabric/data-engineering/delta-optimization-and-v-order?tabs=sparksqlit reduces and increments performance by utilizing minimal operational costs.

V-Order is a storage optimization format used in Microsoft Fabric for Delta tables. It organizes data in a highly compressed and sorted format, improving query performance while reducing storage costs. Since your reports are based on Direct Lake, enabling V-Order will directly enhance read performance without increasing operational costs. Increasing capacity (B) would add cost, while changing hash keys (A) or modifying data types (D) are more complex and don't guarantee significant performance gains. Creating views (E) does not optimize the underlying storage and, therefore, won't address the root cause effectively.

V-Ordering is enabled by default in Fabric Datawarehouse. I have created a new datawarehouse and verify the default v-order status: SELECT [name], [is_vorder_enabled] FROM sys.databases; Disabling V-Order is irreversible: once disabled, it cannot be enabled again. So C is not a valid option. https://learn.microsoft.com/en-us/fabric/data-warehouse/v-order

V-Order improves read performance by applying special optimizations such as sorting, row group distribution, dictionary encoding, and compression on Parquet files. This enhances query performance significantly, especially for large datasets. Additionally, V-Order is cost-effective as it reduces the amount of resources needed for reading data, leading to improved performance without increasing operational costs.

i think the answer should be V-order since it will sort data before writing and hence give you better read performance without increasing the capacity which also optimizes on operational costs!